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ORCIDChris Wiggins 0001
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- affiliation: Columbia University, Department of Applied Physics and Applied Mathematics, Data Science Institute, NY, USA
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2020 – today
- 2023
[j17]Peter Norvig, Alfred Z. Spector, Chris Wiggins, Jeannette M. Wing, Ben Fried, Michael Tingley:
More Than Just Algorithms. Commun. ACM 66(8): 53-61 (2023)- [j16]Alfred Z. Spector, Peter Norvig, Chris Wiggins, Jeannette M. Wing, Ben Fried, Michael Tingley:
More Than Just Algorithms: A discussion with Alfred Spector, Peter Norvig, Chris Wiggins, Jeannette Wing, Ben Fried, and Michael Tingley. ACM Queue 21(1): 102-129 (2023) - [j15]Daniel Alabi, Chris Wiggins:
Privacy Budget Tailoring in Private Data Analysis. Trans. Mach. Learn. Res. 2023 (2023) - 2021
- [j14]Kathy Li
, Iñigo Urteaga, Amanda Shea, Virginia J. Vitzthum, Chris H. Wiggins, Noémie Elhadad:
A predictive model for next cycle start date that accounts for adherence in menstrual self-tracking. J. Am. Medical Informatics Assoc. 29(1): 3-11 (2021) - [c6]Iñigo Urteaga, Kathy Li, Amanda Shea, Virginia J. Vitzthum, Chris H. Wiggins, Noemie Elhadad:
A Generative Modeling Approach to Calibrated Predictions: A Use Case on Menstrual Cycle Length Prediction. MLHC 2021: 535-566 - [i7]Kathy Li, Iñigo Urteaga, Amanda Shea, Virginia J. Vitzthum, Chris H. Wiggins, Noémie Elhadad:
A generative, predictive model for menstrual cycle lengths that accounts for potential self-tracking artifacts in mobile health data. CoRR abs/2102.12439 (2021) - 2020
- [j13]Kathy Li, Iñigo Urteaga, Chris H. Wiggins, Anna Druet, Amanda Shea, Virginia J. Vitzthum, Noémie Elhadad:
Characterizing physiological and symptomatic variation in menstrual cycles using self-tracked mobile-health data. npj Digit. Medicine 3 (2020) - [i6]Nadya Bliss, Elizabeth Bradley, Joshua Garland, Filippo Menczer, Scott W. Ruston, Kate Starbird, Chris Wiggins:
An Agenda for Disinformation Research. CoRR abs/2012.08572 (2020)
2010 – 2019
- 2018
- [c5]Iñigo Urteaga, Chris Wiggins:
Variational inference for the multi-armed contextual bandit. AISTATS 2018: 698-706 - [i5]Iñigo Urteaga, Chris H. Wiggins:
Nonparametric Gaussian mixture models for the multi-armed contextual bandit. CoRR abs/1808.02932 (2018) - [i4]Iñigo Urteaga, Chris H. Wiggins:
(Sequential) Importance Sampling Bandits. CoRR abs/1808.02933 (2018) - 2017
- [i3]Iñigo Urteaga, Chris H. Wiggins:
Bayesian bandits: balancing the exploration-exploitation tradeoff via double sampling. CoRR abs/1709.03162 (2017) - [i2]Iñigo Urteaga, Chris H. Wiggins:
Variational inference for the multi-armed contextual bandit. CoRR abs/1709.03163 (2017) - 2016
- [j12]Andrew Mugler, Mark Kittisopikul, Luke Hayden, Jintao Liu, Chris H. Wiggins, Gürol M. Süel, Aleksandra M. Walczak:
Noise Expands the Response Range of the Bacillus subtilis Competence Circuit. PLoS Comput. Biol. 12(3) (2016) - 2015
- [j11]Max Greenfeld, Jan-Willem van de Meent, Dmitri S. Pavlichin, Hideo Mabuchi, Chris H. Wiggins, Ruben L. Gonzalez, Daniel Herschlag:
Single-molecule dataset (SMD): a generalized storage format for raw and processed single-molecule data. BMC Bioinform. 16: 3:1-3:4 (2015) - [j10]Rimma Pivovarov, Adler J. Perotte, Edouard Grave, John Angiolillo, Chris H. Wiggins, Noémie Elhadad:
Learning probabilistic phenotypes from heterogeneous EHR data. J. Biomed. Informatics 58: 156-165 (2015) - 2014
- [j9]Francesco Abate, Sakellarios Zairis, Elisa Ficarra, Andrea Acquaviva, Chris H. Wiggins, Veronique Frattini, Anna Lasorella, Antonio Iavarone, Giorgio Inghirami, Raul Rabadan:
Pegasus: a comprehensive annotation and prediction tool for detection of driver gene fusions in cancer. BMC Syst. Biol. 8: 97 (2014) - 2013
- [c4]Jan-Willem van de Meent, Jonathan E. Bronson, Frank D. Wood, Ruben L. Gonzalez, Chris Wiggins:
Hierarchically-coupled hidden Markov models for learning kinetic rates from single-molecule data. ICML (2) 2013: 361-369 - 2012
- [j8]Michael Dewar, Chris Wiggins, Frank D. Wood:
Inference in Hidden Markov Models with Explicit State Duration Distributions. IEEE Signal Process. Lett. 19(4): 235-238 (2012) - [i1]Michael Dewar, Chris Wiggins, Frank D. Wood:
Inference in Hidden Markov Models with Explicit State Duration Distributions. CoRR abs/1203.0038 (2012) - 2010
- [j7]Jonathan E. Bronson, Jake M. Hofman, Jingyi Fei, Ruben L. Gonzalez, Chris H. Wiggins:
Graphical models for inferring single molecule dynamics. BMC Bioinform. 11(S-8): S2 (2010) - [j6]Anil Raj, Chris H. Wiggins:
An Information-Theoretic Derivation of Min-Cut-Based Clustering. IEEE Trans. Pattern Anal. Mach. Intell. 32(6): 988-995 (2010) - [j5]Xuejing Li, Casandra Panea, Chris H. Wiggins, Valerie Reinke, Christina S. Leslie:
Learning "graph-mer" Motifs that Predict Gene Expression Trajectories in Development. PLoS Comput. Biol. 6(4) (2010)
2000 – 2009
- 2006
- [j4]Anshul Kundaje, Manuel Middendorf, Mihir Shah, Chris Wiggins, Yoav Freund, Christina S. Leslie:
A classification-based framework for predicting and analyzing gene regulatory response. BMC Bioinform. 7(S-1) (2006) - [j3]Adam A. Margolin, Ilya Nemenman, Katia Basso, Chris Wiggins, Gustavo Stolovitzky, Riccardo Dalla Favera, Andrea Califano:
ARACNE: An Algorithm for the Reconstruction of Gene Regulatory Networks in a Mammalian Cellular Context. BMC Bioinform. 7(S-1) (2006) - 2005
- [j2]Anshul Kundaje, Manuel Middendorf, Feng Gao, Chris Wiggins, Christina S. Leslie:
Combining Sequence and Time Series Expression Data to Learn Transcriptional Modules. IEEE ACM Trans. Comput. Biol. Bioinform. 2(3): 194-202 (2005) - [c3]Manuel Middendorf, Anshul Kundaje, Mihir Shah, Yoav Freund, Chris Wiggins, Christina S. Leslie:
Motif Discovery Through Predictive Modeling of Gene Regulation. RECOMB 2005: 538-552 - 2004
- [j1]Manuel Middendorf, Etay Ziv, Carter Adams, Jen Hom, Robin Koytcheff, Chaya Levovitz, Gregory Woods, Linda Chen, Chris Wiggins:
Discriminative topological features reveal biological network mechanisms. BMC Bioinform. 5: 181 (2004) - [c2]Manuel Middendorf, Anshul Kundaje, Chris Wiggins, Yoav Freund, Christina S. Leslie:
Predicting genetic regulatory response using classification. ISMB/ECCB (Supplement of Bioinformatics) 2004: 232-240 - [c1]Manuel Middendorf, Anshul Kundaje, Chris Wiggins, Yoav Freund, Christina S. Leslie:
Predicting Genetic Regulatory Response Using Classification: Yeast Stress Response. Regulatory Genomics 2004: 1-13
Coauthor Index
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